Configuring Web IDEs

# Give template users the portainer.io web UI
resource "coder_app" "portainer" {
  agent_id      = coder_agent.dev.id
  name          = "portainer"
  icon          = "https://simpleicons.org/icons/portainer.svg"
  url           = "http://localhost:8000"
  relative_path = true
}

# edit your template
cd your-template/
vim main.tf

resource "coder_agent" "dev" {
    arch          = "amd64"
    os            = "linux"
    startup_script = <<EOF
    #!/bin/sh
    # install and start code-server
    curl -fsSL https://code-server.dev/install.sh | sh
    code-server --auth none --port 13337
    EOF
}

FROM codercom/enterprise-base:ubuntu

# install a specific code-server version
RUN curl -fsSL https://code-server.dev/install.sh | sh -s -- --version=4.3.0

# pre-install versions
RUN code-server --install-extension eamodio.gitlens

# directly start code-server with the agent's startup_script (see above),
# or use a proccess manager like supervisord

resource "coder_app" "code-server" {
  agent_id = coder_agent.dev.id
  name     = "code-server"
  url      = "http://localhost:13337/?folder=/home/coder"
  icon     = "/icon/code.svg"
}

variable "jetbrains-ide" {
  description = "JetBrains IntelliJ IDE"
  default     = "IntelliJ IDEA Community Edition 2022.1.3"
  validation {
    condition = contains([
      "IntelliJ IDEA Community Edition 2022.1.3",
      "IntelliJ IDEA Community Edition 2021.3",
      "IntelliJ IDEA Ultimate 2022.1.3",
      "IntelliJ IDEA Ultimate 2021.3"
    ], var.jetbrains-ide)
    # Find all compatible IDEs with the `projector IDE find` command
    error_message = "Invalid JetBrains IDE!"
}
}

resource "coder_agent" "coder" {
  dir = "/home/coder"
  startup_script = <<EOT
#!/bin/bash

# install projector
PROJECTOR_BINARY=/home/coder/.local/bin/projector
if [ -f $PROJECTOR_BINARY ]; then
    echo 'projector has already been installed - check for update'
    /home/coder/.local/bin/projector self-update 2>&1 | tee projector.log
else
    echo 'installing projector'
    pip3 install projector-installer --user 2>&1 | tee projector.log
fi

echo 'access projector license terms'
/home/coder/.local/bin/projector --accept-license 2>&1 | tee -a projector.log

PROJECTOR_CONFIG_PATH=/home/coder/.projector/configs/intellij

if [ -d "$PROJECTOR_CONFIG_PATH" ]; then
    echo 'projector has already been configured and the JetBrains IDE downloaded - skip step' 2>&1 | tee -a projector.log
else
    echo 'autoinstalling IDE and creating projector config folder'
    /home/coder/.local/bin/projector ide autoinstall --config-name "intellij" --ide-name "${var.jetbrains-ide}" --hostname=localhost --port 8997 --use-separate-config --password coder 2>&1 | tee -a projector.log

    # delete the configuration's run.sh input parameters that check password tokens since tokens do not work with coder_app yet passed in the querystring
    grep -iv "HANDSHAKE_TOKEN" $PROJECTOR_CONFIG_PATH/run.sh > temp && mv temp $PROJECTOR_CONFIG_PATH/run.sh 2>&1 | tee -a projector.log
    chmod +x $PROJECTOR_CONFIG_PATH/run.sh 2>&1 | tee -a projector.log

    echo "creation of intellij configuration complete" 2>&1 | tee -a projector.log
fi
# start JetBrains projector-based IDE
/home/coder/.local/bin/projector run intellij &

EOT
}

resource "coder_app" "intellij" {
  agent_id      = coder_agent.coder.id
  name          = "${var.jetbrains-ide}"
  icon          = "/icon/intellij.svg"
  url           = "http://localhost:8997/"
  relative_path = true
}

data "coder_workspace" "me" {}

## The name of the app must always be equal to the "/apps/<name>"
## string in the base_url. This caveat is unique to Jupyter.

resource "coder_agent" "coder" {
  os   = "linux"
  arch = "amd64"
  dir  = "/home/coder"
  startup_script = <<-EOF
pip3 install jupyterlab
jupyter lab --ServerApp.base_url=/@${data.coder_workspace.me.owner}/${data.coder_workspace.me.name}/apps/jupyter/ --ServerApp.token='' --ip='*'
EOF
}

resource "coder_app" "jupyter" {
  agent_id = coder_agent.coder.id
  url = "http://localhost:8888/@${data.coder_workspace.me.owner}/${data.coder_workspace.me.name}/apps/jupyter"
  icon = "/icon/jupyter.svg"
}

resource "coder_agent" "coder" {
  os   = "linux"
  arch = "amd64"
  dir = "/home/coder"
  startup_script = <<EOT
#!/bin/bash
# start rstudio
/usr/lib/rstudio-server/bin/rserver --server-daemonize=1 --auth-none=1 &
EOT
}

ssh -L 8787:localhost:8787 coder.<RStudio workspace name>

resource "coder_agent" "coder" {
  os   = "linux"
  arch = "amd64"
  dir = "/home/coder"
  startup_script = <<EOT
#!/bin/bash
# install and start airflow
pip3 install apache-airflow 2>&1 | tee airflow-install.log
/home/coder/.local/bin/airflow standalone  2>&1 | tee airflow-run.log &
EOT
}

ssh -L 8080:localhost:8080 coder.<Airflow workspace name>